- Latihan01-Konversi Pandas Dataframe.ipynb
- Latihan02-Sklearn Train Test Split.ipynb
- Latihan03-Sklearn Cross Validation Split.ipynb
- Latihan04-Sklearn Decission Tree.ipynb
- Latihan05-Sklearn Linear Regression.ipynb
- Latihan06_Sklearn_Logistic_Regression.ipynb
- Latihan07-Sklearn K-means Clustering.ipynb
- Latihan08-Sklearn PCA.ipynb
- Latihan09-Sklearn SVM untuk Classification.ipynb
- Latihan10-Sklearn SVR.ipynb
- Latihan11-Sklearn with GridSearch.ipynb
- Latihan12-CNN Clean vs Messy Room.ipynb
- Machine Learning Pemula Dicoding.ipynb
- PaperRockScissors.ipynb
- PaperRockScissors-references.ipynb
- submision_ML.ipynb
- Tensor Flow YB rock_paper_scissors.ipynb
- Latihan01-Konversi Pandas Dataframe.ipynb
- Latihan02-Sklearn Train Test Split.ipynb
- Latihan03-Sklearn Cross Validation Split.ipynb
- Latihan04-Sklearn Decission Tree.ipynb
- Latihan05-Sklearn Linear Regression.ipynb
- Latihan06_Sklearn_Logistic_Regression.ipynb
- Latihan07-Sklearn K-means Clustering.ipynb
- Latihan08-Sklearn PCA.ipynb
- Latihan09-Sklearn SVM untuk Classification.ipynb
- Latihan10-Sklearn SVR.ipynb
- Latihan11-Sklearn with GridSearch.ipynb
- Latihan12-CNN Clean vs Messy Room.ipynb
- Machine Learning Pemula Dicoding.ipynb
- PaperRockScissors.ipynb
- PaperRockScissors-references.ipynb
- submision_ML.ipynb
- Tensor Flow YB rock_paper_scissors.ipynb
- Jupyter Notebook or Google Colab
- Kaggle API Token → Generate
- Python version 3.6 or above
- Latest version of Tensorflow 2.5 (or you can update again by rerunning .ipynb and updating models)
- Create
kaggle.jsonfrom Kaggle - Go to your Kaggle profile then download your Kaggle API.
- My Account → Look for API section → Create New API Token
- Open
.ipynbwith Google Colaboratory usingopen in colab - "Save a copy in Drive" to run and edit with your account. Click
File>Save a copy in Drivein your Google Colaboratory. - Upload your
kaggle.jsonif asked to upload it. - Will download the dataset on kaggle
- If using GoogleDrive for the dataset,
GoogleAuthclick on the given link and sign in with your Google Account. - Done :)
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